{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/neural-document-embeddings-for-intensive-care","title":"Neural Document Embeddings for Intensive Care Patient Mortality Prediction","arxiv_id":"1612.00467","date":"2016-12-01","proceeding":null,"authors":["Paulina Grnarova","Florian Schmidt","Stephanie L. Hyland","Carsten Eickhoff"],"abstract":"We present an automatic mortality prediction scheme based on the unstructured\ntextual content of clinical notes. Proposing a convolutional document embedding\napproach, our empirical investigation using the MIMIC-III intensive care\ndatabase shows significant performance gains compared to previously employed\nmethods such as latent topic distributions or generic doc2vec embeddings. These\nimprovements are especially pronounced for the difficult problem of\npost-discharge mortality prediction.","url_abs":"http://arxiv.org/abs/1612.00467v1","url_pdf":"http://arxiv.org/pdf/1612.00467v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"neural-document-embeddings-for-intensive-care","repo_url":"https://github.com/cmasch/cnn-text-classification","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":"document-embedding","task_name":"Document Embedding"},{"task_slug":"mortality-prediction","task_name":"Mortality Prediction"},{"task_slug":"prediction","task_name":"Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1612.00467","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}